Skip to main content

NVIDIA cuDensityMat is a high-performance library for composing analog quantum dynamics equation solvers. cuDensityMat is a component of the NVIDIA cuQuantum SDK.

In addition to C APIs, cuDensityMat can also be accessed in Python via cuQuantum Python.

Documentation

Please refer to https://docs.nvidia.com/cuda/cuquantum/latest/cudensitymat/index.html for the cuDensityMat documentation.

Installation

The cuDensityMat wheel can be installed as follows:

pip install cudensitymat-cuXX

where XX is the CUDA major version (currently CUDA 11 & 12 are supported).

Citing cuQuantum

H. Bayraktar et al., “cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science,” 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 1050-1061, doi: 10.1109/QCE57702.2023.00119

Release files for cudensitymat-cu11 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for cudensitymat-cu11 0.2.0
File Interpreter ABI Platform
cudensitymat_cu11-0.2.0-py3-none-manylinux2014_x86_64.whl Python 3 none Linux glibc 2.17+ x86-64 Details
cudensitymat_cu11-0.2.0-py3-none-manylinux2014_aarch64.whl Python 3 none Linux glibc 2.17+ ARM64 Details

Total release size: 6.9 MB

Release files / cudensitymat_cu11-0.2.0-py3-none-manylinux2014_x86_64.whl

Download URL cudensitymat_cu11-0.2.0-py3-none-manylinux2014_x86_64.whl
Size 3.5 MB
Tags Linux glibc 2.17+ x86-64 Python 3
SHA-256 checksum
How to use checksums
d5bd81542a8ffdaa111411b1c2fb9ac78b516b4d0f0c9b8254a59a9444cbefba
BLAKE2b-256 checksum
How to use checksums
83ef6b1408161439190e45295cb870a7a14695a7c0227b47171dbee9323ca015
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.5

Release files / cudensitymat_cu11-0.2.0-py3-none-manylinux2014_aarch64.whl

Download URL cudensitymat_cu11-0.2.0-py3-none-manylinux2014_aarch64.whl
Size 3.4 MB
Tags Linux glibc 2.17+ ARM64 Python 3
SHA-256 checksum
How to use checksums
f4234f53fa675282cc13d46a4683b3c820febf52f3b64a658a33e0320f6b93c1
BLAKE2b-256 checksum
How to use checksums
8665279ac2a28d0460f6c167416add505fb929b0cd2c46f9542730af622fd24b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.5

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

0.1.0

2 release files

0.0.5

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page